Chunling Dong

54 papers and 669 indexed citations i.

About

Chunling Dong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Chunling Dong has authored 54 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 7 papers in Artificial Intelligence. Recurrent topics in Chunling Dong’s work include Bayesian Modeling and Causal Inference (7 papers), Fault Detection and Control Systems (6 papers) and Respiratory Support and Mechanisms (5 papers). Chunling Dong is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), Fault Detection and Control Systems (6 papers) and Respiratory Support and Mechanisms (5 papers). Chunling Dong collaborates with scholars based in China, United States and Italy. Chunling Dong's co-authors include Qin Zhang, Chunxue Bai, Guifang Wang, Kui Xiao, Xiangdong Wang, Li Bai, Chengping Hu, Cha‐Xiang Guan, Zhongsen Ma and Bo Li and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Frontiers in Immunology.

In The Last Decade

Co-authorship network of co-authors of Chunling Dong i

Fields of papers citing papers by Chunling Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chunling Dong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chunling Dong. The network helps show where Chunling Dong may publish in the future.

Countries citing papers authored by Chunling Dong

Since Specialization
Citations

This map shows the geographic impact of Chunling Dong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chunling Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunling Dong more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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Rankless by CCL
2025